{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "accompanied-pakistan",
   "metadata": {},
   "source": [
    "# The `gggrid()` Function\n",
    "\n",
    "\n",
    "Use the `gggrid()` function to combine several plots on one figure,  organized in a regular grid."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "negative-jonathan",
   "metadata": {},
   "source": [
    "1. [Simple Triptych](#1.-Simple-Triptych)\n",
    "2. [Simple 2 X 2 Grid](#2.-Simple-2-X-2-Grid)  \n",
    "3. [Re-arranged 2 X 2 Grid](#3.-Re-arranged-2-X-2-Grid)  \n",
    "4. [Align Inner Areas of Plots](#4.-Align-Inner-Areas-of-Plots)  \n",
    "5. [Adjust Cell Sizes](#5.-Adjust-Cell-Sizes) \n",
    "6. [Hierarchical Grids](#6.-Hierarchical-Grids) \n",
    "\n",
    " 6.1 [Two Plots Arranged in Column](#6.1-Two-Plots-Arranged-in-Column)\n",
    "\n",
    " 6.2 [Two Grids on One Figure](#6.2-Two-Grids-on-One-Figure)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "after-treasurer",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"nEfim8\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"library\">\n",
       "       if(!window.letsPlotCallQueue) {\n",
       "           window.letsPlotCallQueue = [];\n",
       "       }; \n",
       "       window.letsPlotCall = function(f) {\n",
       "           window.letsPlotCallQueue.push(f);\n",
       "       };\n",
       "       (function() {\n",
       "           var script = document.createElement(\"script\");\n",
       "           script.type = \"text/javascript\";\n",
       "           script.src = \"https://cdn.jsdelivr.net/gh/JetBrains/lets-plot@v3.1.0/js-package/distr/lets-plot.min.js\";\n",
       "           script.onload = function() {\n",
       "               window.letsPlotCall = function(f) {f();};\n",
       "               window.letsPlotCallQueue.forEach(function(f) {f();});\n",
       "               window.letsPlotCallQueue = [];\n",
       "               \n",
       "               \n",
       "           };\n",
       "           script.onerror = function(event) {\n",
       "               window.letsPlotCall = function(f) {};\n",
       "               window.letsPlotCallQueue = [];\n",
       "               var div = document.createElement(\"div\");\n",
       "               div.style.color = 'darkred';\n",
       "               div.textContent = 'Error loading Lets-Plot JS';\n",
       "               document.getElementById(\"nEfim8\").appendChild(div);\n",
       "           };\n",
       "           var e = document.getElementById(\"nEfim8\");\n",
       "           e.appendChild(script);\n",
       "       })();\n",
       "   </script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%useLatestDescriptors\n",
    "%use lets-plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "computational-latex",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Lets-Plot Kotlin API v.4.3.0. Frontend: Notebook with dynamically loaded JS. Lets-Plot JS v.3.1.0."
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "LetsPlot.getInfo()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "sharing-titanium",
   "metadata": {},
   "outputs": [],
   "source": [
    "LetsPlot.theme = themeBW()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "provincial-finnish",
   "metadata": {},
   "outputs": [],
   "source": [
    "import java.util.Random\n",
    "\n",
    "val rand = Random(123)\n",
    "val N = 200\n",
    "val mean = 1000_000\n",
    "val dat = mapOf(\n",
    "        \"sepal length\" to List(N) { rand.nextGaussian() },\n",
    "        \"sepal width\" to List(N) { rand.nextGaussian() * 10_000 + 100_000 },\n",
    "    )\n",
    "\n",
    "val scatter = letsPlot(dat) + geomPoint(color=\"black\", alpha=0.3, size=5) {x = \"sepal length\"; y = \"sepal width\"}\n",
    "val density = letsPlot(dat) + geomDensity(color=\"black\", fill=\"black\", alpha=0.1, size=1) {x = \"sepal length\"}\n",
    "\n",
    "val blankXAxis = theme(axisTitleX=\"blank\", axisTextX=\"blank\", axisTicksX=\"blank\")\n",
    "val box = letsPlot(dat) + geomBoxplot(fill=\"black\", alpha=0.1, size=1) {y = \"sepal width\"} + blankXAxis\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "substantial-violence",
   "metadata": {},
   "source": [
    "#### 1. Simple Triptych"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "protective-barbados",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"YyyZB4\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
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       "\"layout\":{\n",
       "\"name\":\"grid\",\n",
       "\"ncol\":3,\n",
       "\"nrow\":1,\n",
       "\"fit\":true,\n",
       "\"align\":false\n",
       "},\n",
       "\"figures\":[{\n",
       "\"mapping\":{\n",
       "},\n",
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       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"mapping\":{\n",
       "\"x\":\"sepal length\",\n",
       "\"y\":\"sepal width\"\n",
       "},\n",
       "\"stat\":\"identity\",\n",
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       "\"alpha\":0.3,\n",
       "\"position\":\"identity\",\n",
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       "\"theme\":{\n",
       "\"name\":\"bw\"\n",
       "}\n",
       "},{\n",
       "\"mapping\":{\n",
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       "\"data\":{\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"mapping\":{\n",
       "\"x\":\"sepal length\"\n",
       "},\n",
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       "\"color\":\"black\",\n",
       "\"size\":1.0,\n",
       "\"alpha\":0.1,\n",
       "\"position\":\"identity\",\n",
       "\"geom\":\"density\",\n",
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       "}\n",
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       "\"theme\":{\n",
       "\"name\":\"bw\"\n",
       "}\n",
       "},{\n",
       "\"mapping\":{\n",
       "},\n",
       "\"data\":{\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"mapping\":{\n",
       "\"y\":\"sepal width\"\n",
       "},\n",
       "\"stat\":\"boxplot\",\n",
       "\"size\":1.0,\n",
       "\"alpha\":0.1,\n",
       "\"position\":\"dodge\",\n",
       "\"geom\":\"boxplot\",\n",
       "\"fill\":\"black\",\n",
       "\"data\":{\n",
       "\"..middle..\":[NaN,99946.12168417289],\n",
       "\"..upper..\":[NaN,106929.37215796615],\n",
       "\"..x..\":[0.0,0.0],\n",
       "\"..ymax..\":[NaN,122271.69092046231],\n",
       "\"..lower..\":[NaN,94379.33074966236],\n",
       "\"..ymin..\":[NaN,75906.24283525447],\n",
       "\"sepal width\":[127801.88141608937,NaN]\n",
       "}\n",
       "}],\n",
       "\"theme\":{\n",
       "\"name\":\"bw\",\n",
       "\"axis_text_x\":\"blank\",\n",
       "\"axis_ticks_x\":\"blank\",\n",
       "\"axis_title_x\":\"blank\"\n",
       "}\n",
       "}],\n",
       "\"kind\":\"subplots\"\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"YyyZB4\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();    \n",
       "   </script>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gggrid(listOf(scatter, density, box))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "unauthorized-surname",
   "metadata": {},
   "source": [
    "#### 2. Simple 2 X 2 Grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "instructional-timeline",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "}\n",
       "}],\n",
       "\"theme\":{\n",
       "\"name\":\"bw\"\n",
       "}\n",
       "},{\n",
       "\"mapping\":{\n",
       "},\n",
       "\"data\":{\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"mapping\":{\n",
       "\"y\":\"sepal width\"\n",
       "},\n",
       "\"stat\":\"boxplot\",\n",
       "\"size\":1.0,\n",
       "\"alpha\":0.1,\n",
       "\"position\":\"dodge\",\n",
       "\"geom\":\"boxplot\",\n",
       "\"fill\":\"black\",\n",
       "\"data\":{\n",
       "\"..middle..\":[NaN,99946.12168417289],\n",
       "\"..upper..\":[NaN,106929.37215796615],\n",
       "\"..x..\":[0.0,0.0],\n",
       "\"..ymax..\":[NaN,122271.69092046231],\n",
       "\"..lower..\":[NaN,94379.33074966236],\n",
       "\"..ymin..\":[NaN,75906.24283525447],\n",
       "\"sepal width\":[127801.88141608937,NaN]\n",
       "}\n",
       "}],\n",
       "\"theme\":{\n",
       "\"name\":\"bw\",\n",
       "\"axis_text_x\":\"blank\",\n",
       "\"axis_ticks_x\":\"blank\",\n",
       "\"axis_title_x\":\"blank\"\n",
       "}\n",
       "},\"blank\"],\n",
       "\"ggsize\":{\n",
       "\"width\":500.0,\n",
       "\"height\":500.0\n",
       "},\n",
       "\"kind\":\"subplots\"\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"ouRNx5\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();    \n",
       "   </script>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gggrid(listOf(scatter, density, box), ncol = 2) + ggsize(500, 500)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "headed-cliff",
   "metadata": {},
   "source": [
    "#### 3. Re-arranged 2 X 2 Grid\n",
    "\n",
    "Use `null` to fill-in empty cells."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "extended-determination",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "},\n",
       "\"stat\":\"boxplot\",\n",
       "\"size\":1.0,\n",
       "\"alpha\":0.1,\n",
       "\"position\":\"dodge\",\n",
       "\"geom\":\"boxplot\",\n",
       "\"fill\":\"black\",\n",
       "\"data\":{\n",
       "\"..middle..\":[NaN,99946.12168417289],\n",
       "\"..upper..\":[NaN,106929.37215796615],\n",
       "\"..x..\":[0.0,0.0],\n",
       "\"..ymax..\":[NaN,122271.69092046231],\n",
       "\"..lower..\":[NaN,94379.33074966236],\n",
       "\"..ymin..\":[NaN,75906.24283525447],\n",
       "\"sepal width\":[127801.88141608937,NaN]\n",
       "}\n",
       "}],\n",
       "\"theme\":{\n",
       "\"name\":\"bw\",\n",
       "\"axis_text_x\":\"blank\",\n",
       "\"axis_ticks_x\":\"blank\",\n",
       "\"axis_title_x\":\"blank\"\n",
       "}\n",
       "}],\n",
       "\"ggsize\":{\n",
       "\"width\":500.0,\n",
       "\"height\":500.0\n",
       "},\n",
       "\"kind\":\"subplots\"\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"OLf0BF\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();    \n",
       "   </script>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "val plots = listOf(\n",
    "    density, null,\n",
    "    scatter, box\n",
    ")\n",
    "\n",
    "gggrid(plots, ncol = 2) + ggsize(500, 500)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "violent-judges",
   "metadata": {},
   "source": [
    "#### 4. Align Inner Areas of Plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "fluid-struggle",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"pBDt1o\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
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       "           var plotSpec={\n",
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       "\"fit\":true,\n",
       "\"align\":true\n",
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       "           var plotContainer = document.getElementById(\"pBDt1o\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
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      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gggrid(plots, ncol = 2, align = true) + ggsize(500, 500)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "built-diamond",
   "metadata": {},
   "source": [
    "#### 5. Adjust Cell Sizes\n",
    "\n",
    "Use `widths` and `heights` parameters to specify relative width/height of each \n",
    "column/row in the grid."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "northern-finance",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\"position\":\"dodge\",\n",
       "\"geom\":\"boxplot\",\n",
       "\"fill\":\"black\",\n",
       "\"data\":{\n",
       "\"..middle..\":[NaN,99946.12168417289],\n",
       "\"..upper..\":[NaN,106929.37215796615],\n",
       "\"..x..\":[0.0,0.0],\n",
       "\"..ymax..\":[NaN,122271.69092046231],\n",
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       "\"sepal width\":[127801.88141608937,NaN]\n",
       "}\n",
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       "\"theme\":{\n",
       "\"name\":\"bw\",\n",
       "\"axis_text_x\":\"blank\",\n",
       "\"axis_ticks_x\":\"blank\",\n",
       "\"axis_title_x\":\"blank\"\n",
       "}\n",
       "}],\n",
       "\"ggsize\":{\n",
       "\"width\":700.0,\n",
       "\"height\":500.0\n",
       "},\n",
       "\"kind\":\"subplots\"\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"F8Px4b\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();    \n",
       "   </script>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "// Choose better settings for axis on the \"density\" and \"box\" plots.\n",
    "val betterDensity = density + theme(axisTitle=\"blank\", axisText=\"blank\", axisTicks=\"blank\")\n",
    "val betterBox = box + scaleYContinuous(position=\"right\")\n",
    "\n",
    "val betterPlots = listOf(\n",
    "    betterDensity, null,\n",
    "    scatter, betterBox\n",
    ")\n",
    "\n",
    "val triplet = gggrid(betterPlots, ncol = 2, align = true,\n",
    "                     widths = listOf(1, 0.5),\n",
    "                     heights = listOf(0.4, 1),\n",
    "                     hspace = 0, vspace = 0\n",
    "                    ) + ggsize(700, 500)\n",
    "\n",
    "triplet"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bottom-field",
   "metadata": {},
   "source": [
    "#### 6. Hierarchical Grids\n",
    "\n",
    "You can insert one grid in a cell of another, bigger grid to create more complex figure.\n",
    "\n",
    "Let's add another two plots on the right-hand side."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "banner-doctor",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\"..theoretical..\":[-2.8070337683438042,-2.4323790585844463,-2.2414027276049446,-2.1083583991691093,-2.004654461765096,-1.9188762262165762,-1.8452581167555007,-1.7804643416920256,-1.722383890252691,-1.6695925772881866,-1.621082250852408,-1.5761119739866583,-1.5341205443525459,-1.49467224980662,-1.4574217385976507,-1.4220904321223204,-1.388450197319147,-1.3563117453352471,-1.3255161998000573,-1.2959288462604266,-1.2674344169169052,-1.2399334778907383,-1.2133396224885178,-1.1875772631885784,-1.1625798748436227,-1.1382885824147981,-1.1146510149326596,-1.091620367434168,-1.0691546270064722,-1.0472159295232386,-1.0257700213555496,-1.0047858060707053,-0.9842349604463249,-0.9640916074069347,-0.944332036006919,-0.9249344605317251,-0.9058788123092844,-0.8871465590188758,-0.8687205472312285,-0.8505848646683847,-0.8327247192774436,-0.8151263327011554,-0.7977768461252381,-0.7806642368062334,-0.7637772438495224,-0.747105302026245,-0.7306384825993718,-0.7143674402801875,-0.6982833655625874,-0.6823779417884336,-0.6666433063863061,-0.6510720158013261,-0.6356570136975825,-0.6203916020690776,-0.6052694149415093,-0.5902843943869684,-0.5754307686077732,-0.5607030318750833,-0.5460959261333559,-0.5316044241037057,-0.5172237137383636,-0.5029491838950579,-0.4887764111146694,-0.4747011473982129,-0.46071930889032514,-0.44682696538622574,-0.43302033058771866,-0.419295753041396,-0.4056497076989145,-0.39207878804514945,-0.3785796987452982,-0.36514924876668214,-0.3517843449351562,-0.33848198588973977,-0.32523925640239537,-0.3120533220328321,-0.29892142409085726,-0.2858408748811656,-0.2728090532075823,-0.25982340011567673,-0.24688141485437834,-0.2339806510387643,-0.22111871299757055,-0.2082932522902251,-0.1955019643793194,-0.18274258544544394,-0.17001288933221934,-0.15731068461017067,-0.14463381174882106,-0.13198014038704123,-0.1193475666922751,-0.10673401079978624,-0.09413741432353637,-0.08155573793071841,-0.06898695897232804,-0.05642906916247406,-0.043880072299401184,-0.03133798202142661,-0.018800819591187675,-0.006266611701750475,0.006266611701750336,0.018800819591187536,0.03133798202142648,0.04388007229940105,0.05642906916247393,0.0689869589723279,0.08155573793071841,0.09413741432353637,0.10673401079978624,0.1193475666922751,0.13198014038704123,0.14463381174882106,0.15731068461017067,0.17001288933221934,0.18274258544544394,0.1955019643793194,0.2082932522902251,0.22111871299757055,0.2339806510387643,0.24688141485437845,0.2598234001156769,0.2728090532075824,0.2858408748811658,0.29892142409085737,0.3120533220328323,0.32523925640239526,0.3384819858897396,0.3517843449351561,0.36514924876668203,0.378579698745298,0.39207878804514934,0.4056497076989145,0.419295753041396,0.43302033058771866,0.44682696538622574,0.46071930889032514,0.4747011473982129,0.4887764111146694,0.5029491838950579,0.5172237137383636,0.5316044241037057,0.5460959261333559,0.5607030318750833,0.5754307686077732,0.5902843943869686,0.6052694149415095,0.6203916020690778,0.6356570136975828,0.6510720158013265,0.6666433063863065,0.6823779417884334,0.6982833655625874,0.7143674402801874,0.7306384825993718,0.747105302026245,0.7637772438495224,0.7806642368062334,0.7977768461252381,0.8151263327011554,0.8327247192774436,0.8505848646683847,0.8687205472312285,0.8871465590188758,0.9058788123092844,0.9249344605317251,0.944332036006919,0.9640916074069347,0.9842349604463249,1.0047858060707053,1.0257700213555496,1.0472159295232386,1.0691546270064722,1.0916203674341682,1.1146510149326596,1.1382885824147984,1.1625798748436225,1.187577263188578,1.2133396224885178,1.2399334778907378,1.2674344169169047,1.2959288462604266,1.3255161998000573,1.3563117453352471,1.388450197319147,1.4220904321223204,1.4574217385976507,1.49467224980662,1.5341205443525459,1.5761119739866585,1.621082250852408,1.6695925772881872,1.7223838902526907,1.7804643416920258,1.8452581167555016,1.9188762262165762,2.0046544617650963,2.1083583991691093,2.2414027276049464,2.432379058584449,2.8070337683438114]\n",
       "}\n",
       "},{\n",
       "\"mapping\":{\n",
       "\"sample\":\"sepal length\"\n",
       "},\n",
       "\"stat\":\"qq_line\",\n",
       "\"color\":\"#ff0000\",\n",
       "\"size\":0.75,\n",
       "\"position\":\"identity\",\n",
       "\"geom\":\"qq_line\",\n",
       "\"distribution\":\"norm\",\n",
       "\"data\":{\n",
       "\"..sample..\":[-2.7961739271341086,2.748446191261734],\n",
       "\"..theoretical..\":[-2.8070337683438042,2.8070337683438114]\n",
       "}\n",
       "}],\n",
       "\"theme\":{\n",
       "\"name\":\"bw\"\n",
       "}\n",
       "}],\n",
       "\"ggsize\":{\n",
       "\"width\":300.0,\n",
       "\"height\":540.0\n",
       "},\n",
       "\"kind\":\"subplots\"\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"6DlzJz\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();    \n",
       "   </script>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "val QQs = listOf(\n",
    "    qqPlot(dat, sample=\"sepal width\", size=5, color=\"gray\", alpha=0.2) + ggtitle(\"Sepal Width\"),\n",
    "    qqPlot(dat, sample=\"sepal length\", size=5, color=\"gray\", alpha=0.2) + ggtitle(\"Sepal Length\"),\n",
    ")    \n",
    "\n",
    "val qqSize = ggsize(300, 300 * 1.8)\n",
    "val qqPair = gggrid(QQs, ncol = 1, align = true) + qqSize\n",
    "qqPair "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "weekly-hearts",
   "metadata": {},
   "source": [
    "##### 6.2 Two Grids on One Figure\n",
    "\n",
    "Optionally, use `fit = false` to preserve aspect ratios of sub-grids. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "complicated-mobility",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"eqwGth\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "       (function() {\n",
       "           var plotSpec={\n",
       "\"layout\":{\n",
       "\"name\":\"grid\",\n",
       "\"ncol\":2,\n",
       "\"nrow\":1,\n",
       "\"widths\":[1,0.5],\n",
       "\"fit\":false,\n",
       "\"align\":false\n",
       "},\n",
       "\"figures\":[{\n",
       "\"layout\":{\n",
       "\"name\":\"grid\",\n",
       "\"ncol\":2,\n",
       "\"nrow\":2,\n",
       "\"widths\":[1,0.5],\n",
       "\"heights\":[0.4,1],\n",
       "\"hspace\":0,\n",
       "\"vspace\":0,\n",
       "\"fit\":true,\n",
       "\"align\":true\n",
       "},\n",
       "\"figures\":[{\n",
       "\"mapping\":{\n",
       "},\n",
       "\"data\":{\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"mapping\":{\n",
       "\"x\":\"sepal length\"\n",
       "},\n",
       "\"stat\":\"density\",\n",
       "\"color\":\"black\",\n",
       "\"size\":1.0,\n",
       "\"alpha\":0.1,\n",
       "\"position\":\"identity\",\n",
       "\"geom\":\"density\",\n",
       "\"fill\":\"black\",\n",
       "\"data\":{\n",
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       "}\n",
       "},{\n",
       "\"mapping\":{\n",
       "\"sample\":\"sepal length\"\n",
       "},\n",
       "\"stat\":\"qq_line\",\n",
       "\"color\":\"#ff0000\",\n",
       "\"size\":0.75,\n",
       "\"position\":\"identity\",\n",
       "\"geom\":\"qq_line\",\n",
       "\"distribution\":\"norm\",\n",
       "\"data\":{\n",
       "\"..sample..\":[-2.7961739271341086,2.748446191261734],\n",
       "\"..theoretical..\":[-2.8070337683438042,2.8070337683438114]\n",
       "}\n",
       "}],\n",
       "\"theme\":{\n",
       "\"name\":\"bw\",\n",
       "\"axis_title\":\"blank\"\n",
       "}\n",
       "}],\n",
       "\"ggsize\":{\n",
       "\"width\":300.0,\n",
       "\"height\":540.0\n",
       "},\n",
       "\"kind\":\"subplots\"\n",
       "}],\n",
       "\"ggsize\":{\n",
       "\"width\":800.0,\n",
       "\"height\":400.0\n",
       "},\n",
       "\"kind\":\"subplots\"\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"eqwGth\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();    \n",
       "   </script>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "// Remove axis titles to declutter the figure.\n",
    "val betterQQs = QQs.map { it + theme(axisTitle=\"blank\") }\n",
    "val betterQQPair = gggrid(betterQQs, ncol = 1, align = true) + qqSize\n",
    "\n",
    "// Create a grid of two grids.\n",
    "val composite = listOf(triplet, betterQQPair)\n",
    "gggrid(composite, \n",
    "       widths = listOf(1, 0.5), \n",
    "       fit = false) + ggsize(800, 800/2)"
   ]
  }
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